Welcome

Welcome to EPsy 8251: Methods in Data Analysis for Educational Research I. This is the first course of a two-semester statistical methods sequence for doctoral students in education.


Instructor

Andrew Zieffler (zief0002@umn.edu)
Virtual Office: Zoom
Office Hours: Wednesday 9:00 AM–10:00 AM; and by appointment

Teaching Assistant

Corissa Rohloff (wurth005@umn.edu)
Virtual Office: Zoom
Office Hours: Tuesday 2:30 PM–3:30 PM; and by appointment


Classroom

  • Monday/Wednesday (2:30–3:45): Zoom


Course Content and Syllabus


Textbooks

The course textbook is available via the University of Minnesota library.


Schedule

Below is the tenative schedule for the class. The dates are subject to change at the instructor’s discretion. Readings should be completed prior to class.


Calendar


Date Reading Topic Notes Script
  Sept. 09 Welcome to EPsy 8251
Unit 01: Introduction to Statistical Computing
Sept. 14 Introduction to R and RStudio
Sept. 16 Data Wrangling with dplyr
Sept. 21 Plotting with ggplot2
Unit 02: Regression Basics
Sept. 23 Simple Linear Regression: Description
Sept. 28
Sept. 30 Ordinary Least Squares (OLS) Estimation
Oct. 05 Correlation and Standardized Regression
Oct. 07
Oct. 12 Coefficient-Level Inference
Oct. 14
Oct. 19 Model-Level Inference
Oct. 21
Unit 03: Deeper Understanding
Oct. 26 Introduction to Multiple Linear Regression
Oct. 28
Nov. 02 Understanding Statistical Control
Nov. 04
Nov. 09 Article Discussion
Nov. 11 Assumptions of the Regression Model
Nov. 16
Unit 04: Extending the Regression Model
Nov. 18 Dichotomous Categorical Predictors
Nov. 23
Nov. 25 Polychotomous Categorical Predictors
Nov. 30
Dec. 02 Introduction to Interaction Models
Dec. 07
Dec. 09 More Interaction Models
Dec. 14
Dec. 16 TBA

Assignments

Below are the due dates for the assignments, as well as links to the PDF file for each assignment. The due dates may change at the instructor’s discretion. Any revised due dates will be announced in class and posted to the website.


Assignment Due Date PDF
Assignment #1: Introduction to Statistical Computing Sept. 28
Assignment #2: Simple Regression: Description Oct. 05
Assignment #3: Correlation and Standardized Regression Oct. 14
Assignment #4: Simple Regression: Inference Oct. 28
Assignment #5: Introduction to Multiple Regression Nov. 09
Assignment #6: Regression Assumptions Nov. 23
Assignment #7: ANCOVA using Multiple Regression Nov. 30
Assignment #8: ANCOVA using Multiple Regression - Part II Dec. 07
Assignment #9: Interaction Models Dec. 16 (due at 12:00pm)

Data

Below are the links to the data sets and data codebooks used in the notes, scripts, and assignments.


Name Data Codebook
colleges-bordering-mn.csv
evaluations.csv
fertility.csv
goodreads.csv
keith-gpa.csv
mn-schools.csv
riverview.csv
state-education.csv
substance-family.csv
work-demands.csv